This reposotry contains host of algorithms tried on retail dataset to optimize intventory. Algorithms include VGG16, ResNet50, ResNet101,InceptionV4, SqueezeNet and 3LayerConvNet. All models were build with image augmentation, complemented with Batachnorm layers before final dense predictions and Test Time Augmentation Steps.
PS: Code is still scratchy.